Data defined infrastructure

ABSTRACT

A system for managing the operation of different components within a cloud system to accomplish various tasks, including the implementation of build features within the cloud system to achieve specific operational goals. The system may include a data defined infrastructure (DDI) tool installed within a data defined infrastructure (DDI) to manage certain features or tasks within the cloud system. The DDI may include an environment configuration database (ECDB), an orchestration engine, an automation engine, and/or other hardware and software components within the cloud system, such that the DDI tool installed on the DDI infrastructure may control operation of the ECDB, the orchestration engine, the automation engine, or other hardware and software components within the cloud system based on a set of data that fully describes the operational goal

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.15/435,419, filed Feb. 17, 2017, which is a continuation of U.S. patentapplication Ser. No. 15/201,770, filed Jul. 5, 2016 (now U.S. Pat. No.9,614,781 issued Apr. 4, 2017), which claims the benefit of U.S.Provisional Patent Application No. 62/302,007, filed Mar. 1, 2016, theentirety of which are all hereby incorporated by reference herein.

TECHNICAL FIELD

The processing power, memory capacity, network connectivity andbandwidth, and other resources available to computing systems haveincreased exponentially. This growth in resources has helped to driveextensive deployment of computing assets. Accompanying the deploymentsare difficult technical challenges in establishing, configuring, andmaintaining the computing assets. This application relates to a datadefined infrastructure within a computing system that includes technicalcomponents for running a self-sufficient workflow configured to build avirtual environment where operational processes may be implemented. Thecapabilities of the data defined infrastructure may be implementedwithin cloud-based systems (public, private, and/or hybrid), or withinprivate infrastructures, as well as on both virtual and physical(non-virtual) components of a computing system.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows exemplary global network architecture.

FIG. 2 shows an exemplary implementation of a data definedinfrastructure within the global network architecture.

FIG. 3 shows a block diagram of the data defined infrastructureinteracting with other components within the global networkarchitecture.

FIG. 4 shows a block diagram of the data defined infrastructureoperating according to a logic flow within the global networkarchitecture.

FIG. 5 shows a block diagram of the data defined infrastructureoperating according to a logic flow within the global networkarchitecture.

FIG. 6 shows a block diagram of the data defined infrastructureoperating according to a logic flow within the global networkarchitecture.

FIG. 7 shows a logical flow for an operational process of the datadefined infrastructure shown in FIG. 6.

FIG. 8 shows a logical flow for an operational process of the datadefined infrastructure shown in FIG. 6.

FIG. 9 shows a logical flow for an operational process of the datadefined infrastructure shown in FIG. 6.

FIG. 10 shows a logical flow for an operational process of the datadefined infrastructure shown in FIG. 6.

FIG. 11 shows a logical flow for an operational process of the datadefined infrastructure shown in FIG. 6.

FIG. 12 shows a block diagram of the data defined infrastructureoperating according to a logic flow within the global networkarchitecture.

FIG. 13 shows exemplary database tables and database formats for datastored within an environment configuration database.

FIG. 14 shows exemplary database tables and database formats for datastored within an environment configuration database.

FIG. 15 shows exemplary database tables and database formats for datastored within an environment configuration database.

FIG. 16 shows exemplary database tables and database formats for datastored within an environment configuration database.

FIG. 17 shows exemplary database tables and database formats for datastored within an environment configuration database.

DETAILED DESCRIPTION

Computing resources have evolved to the point where a single physicalserver, or a family of physical servers, may host many instances ofvirtual machines and virtualized functions. These advances have led tothe extensive provisioning of a wide spectrum of functionality for manytypes of entities into specific pockets of concentrated processingresources that may be located virtually anywhere, that is, relocatedinto a cloud of processing resources handling many different clients,hosted by many different service providers, in many different geographiclocations. Improvements in cloud system control, deployment, andprovisioning will drive the further development and implementation offunctionality into various instantiations of cloud architectures.

One or more servers may be configured to manage the operation ofdifferent components within the cloud system to accomplish varioustasks, including the implementation of build features within the cloudsystem to achieve specific enterprise goals. For instance, a datadefined infrastructure (DDI) tool may be installed within a data definedinfrastructure (DDI) to manage certain features or tasks within thecloud system. The DDI may include an environment configuration database(ECDB), an orchestration engine, an automation engine, and/or otherhardware and software components within the cloud system, such that theDDI tool installed on the DDI infrastructure may control operation ofthe ECDB, the orchestration engine, the automation engine, and/or otherhardware and software components within the cloud system.

The DDI tool may control the different components of the DDI to, forexample, define relationships between components of the DDI and/orcomponents of the cloud system at large. The DDI tool may also controlthe different components of the DDI to implement various services (e.g.,business services) within the cloud system. For example, a wrappingworkflow may be created as part of the DDI tool, where the wrappingworkflow may be read by the orchestration engine to process datareceived from the ECDB to recognize an operational goal from the datareceived from the ECDB. By recognizing the operational goal from thedata received from the ECDB, the orchestration engine may then gatherdata, and control a virtual build of operational tools and operationalblocks within the cloud system for achievement of the recognizedoperational goal without the requirement that the orchestration engineor flow be specifically created to perform that goal. The orchestrationengine may further call on the automation engine, as well as otherhardware and software components within the cloud system, toself-sufficiently build/create the operational tools and operationalblocks that are required to achieve the recognized operational goal.

The data stored on the ECDB may, for example, be a request to build avirtual email server network. According to such embodiments, thewrapping workflow component of the DDI tool may receive the request asdefined within the ECDB, and recognize the operational goal as buildingthe virtual email server network. To achieve the recognized operationalgoal of building the virtual email server network, the wrapping workflowcomponent of the DDI may proceed to call on the different hardware andsoftware components available within the cloud system, including theautomation engine that is part of the DDI, to build the requestedvirtual email server network within the cloud system virtualenvironment.

As part of the wrapping workflow being processed by the orchestrator,one or more automation engines may be utilized to automaticallyimplement certain predefined build features called for by the datareceived from the ECDB. The wrapping workflow may continue to runthrough iterations as long as the data received from the ECDB calls foradditional iterations to achieve the recognized operational goal. Eachiteration of the wrapping workflow may include one or more instructionsfor calling one or more cloud systems or infrastructure components toimplement a specific build feature, gather data, or write data.Cumulatively, the instructions that are enacted by the iterations maycontrol cloud system components to achieve the recognized operationalgoal. It follows that the described DDI tool may automatically align abusiness customer's needs with respect to an application running withinthe cloud system by automatically orchestrating the relationshipsbetween the applications, data, and infrastructure included within thecloud system to achieve recognized operational goals.

The DDI tool provides environment automation that is driven and definedby data, and in particular, driven and defined by data stored andreceived from the ECDB. The DDI tool allows for data to be the driverfor differentiating a simple build of one system or an entire deploymentof a large scale multi-tiered enterprise system. In some embodiments,the data may even be the sole driver for differentiating a simple buildof one system or an entire deployment of a large scale multi-tieredenterprise system. The DDI tool builds upon and further abstractssoftware defined infrastructure (SDI) to provide rigor, repeatability,and reduced risk to stand-up of infrastructures.

The DDI tool also offers key benefits of build speed and efficiencybased on the dynamic adaptability and automation attributes of thewrapping workflow. For instance, the wrapping workflow may be configuredto receive data from the ECDB that calls for a number of different buildrequirements within the cloud system, and the wrapping workflow may beadaptable enough to have access to a wide array of predefinedsub-workflow routines for achieving the different build requirements.The automation aspect of the wrapping workflow reduces user errors thatmay have occurred with human cloud system administrators. The wrappingworkflow's reliability also allows the DDI tool repeat builds in a likeor same manner without additional resources required in the same ordifferent cloud infrastructure. The repeatability of the wrappingworkflow also allows for easier auditing of past processes implementedby the DDI tool, as well as allows for the easy identification of systembuild versioning.

The DDI tool may be configured to operate according to a number of coreconcepts. For example, the DDI tool may be configured to keep all of thebuild instructions in the data received from the ECDB, maintain a plugand play architecture, keep orchestration flows (e.g., the wrappingworkflow) as generic as possible to maintain flexibility for receivingdifferent types of data calling for the orchestration flow to implementdifferent tasks, keep automation scripts/policies/configurations asgeneric as possible, keep parameters in the data, and/or agnostic to theorchestration and/or automation engines as well as to the underlyingvisualization infrastructure.

The described automation may be performed on a virtual machine, server,or operating system (OS) that entail configuration of the cloud systemoperation system, installation of patches to applications running withinthe cloud system, installation of software within the cloud system, andconfiguration of software within the cloud system. The describedorchestration may relate to the control of workflow (e.g., the wrappingworkflow and resulting iterative sub-workflows) of activities based onthe data provided. The orchestration also creates the linkages betweenthe various components (virtualization, networking, OS) of the cloudsystem infrastructure.

FIGS. 1 and 2 provide an exemplary context for the discussion oftechnical solutions for complex cloud architecture control andprovisioning described in detail below. The examples in FIGS. 1 and 2show one of many possible different implementation contexts. In thatrespect, the technical solutions are not limited in their application tothe architectures and systems shown in FIGS. 1 and 2, but are applicableto many other cloud and fixed infrastructure computing implementations,architectures, and connectivity. Although the DDI is described withinthe context of being implemented on a cloud system, the samecapabilities of the DDI may be applicable when implemented on privatenon-cloud infrastructures.

FIG. 1 illustrates a global network architecture 100. The global networkarchitecture 100 may also be referred to as the cloud system at otherparts of this disclosure. Distributed through the global networkarchitecture 100 are cloud computing service providers, e.g., theservice providers 102, 103, 104, 106, and 108. The service providers maybe located in any geographic region, e.g., United States (US) East, USWest, or Central Europe. The geographic regions that characterize theservice providers may be defined according to any desired distinctionsto be made with respect to location. A service provider may providecloud computing infrastructure in multiple geographic locations for theglobal network architecture 100.

The service providers may provide computing resources via platforms thatare generally publicly available. Service providers may additionally oralternatively provide computing resources “on-premises”, which typicallyrefers to a location with increased privacy and security compared topublic cloud resources. An on-premise location may be within a securefacility owned by an enterprise which has moved computing functionalityto a cloud based implementation, for instance. Examples of serviceproviders include Amazon, Google, Microsoft, and Accenture, who offer,e.g., Amazon Web Services (AWS), Google Compute Engine (GCE), MicrosoftAzure (Azure), Accenture Cloud Platform (ACP), and Windows Azure Pack(WAP) for on-premise cloud implementations, as just a few examples.

Throughout the global network architecture 100 are networks, e.g., thenetwork 110, which provide connectivity within the service providers,and between the service providers and other entities within the globalnetwork architecture 100. The networks, including network 110, mayinclude private and public networks defined over any pre-determined andpossibly dynamic internet protocol (IP) address ranges. The data definedinfrastructure (DDI) 112 included within the global network architecture100, makes complex cloud architectural provisioning and executiondecisions across multiple cloud services. The DDI 112 takes into accountthe global network architecture 100, the various service providerlocations and capabilities, and other factors when operating to achievethe recognized operational goals, as described in more detail below.

As an overview, the DDI 112 may include DDI tool circuitry 114configured to include the hardware, software, firmware, and/ormiddleware for implementing the features accountable to the DDI 112 asdescribed herein. The DDI 112 also includes an environment configurationdatabase (ECDB) 116. The ECDB 116 may include one or more storage unitsand processing components configured to receive data through thenetworks accessible within the global network architecture 100, andprovide the stored data to an orchestration engine 118. Theorchestration engine 118 may include the hardware, software, firmware,and/or middleware for running the wrapping workflow, where the wrappingworkflow is configured to receive data from the ECDB 116, recognize anoperation goal from the data, and control components from the globalnetwork architecture, including the DDI components, to achieve therecognized operational goal. The DDI 112 also includes an automationengine 120 configured to be controlled by the orchestration engine 118to implement a number of predefined automatic builds of cloud systemfeatures as part of the process implemented by the wrapping workflow toachieve the recognized operational goal.

Exemplary operational goals may include system automation tasks withinthe global network architecture 100, such as, but not limited to: VMwareNSX Network Configuration, Windows and Linux Operating System Deployment(VMware), Host configuration including firewalls and networking,Software installation (Oracle RAC, SQL Server, WAS, Custom), Automatedsystem integration (Application server to database), Concurrent buildsas driven by data, Build versioning across the entire DDI stack, andHardening (DoD STIG) implementation.

The automation engine 120 may handle the interactions with virtualmachines, physical servers, and/or Operating Systems (OS) within theglobal network architecture 100 once the automation engine 120 is undermanagement by the orchestration engine 118. The automation engine 120may further be enabled through a secure agent based tunnel to the host.The automation engine 120 may further provide audit capabilities andtraceability for all actions performed on an OS. Attributes are appliedto every build server within the global network architecture 100 as partof the handoff to the automation engine 120. These attributes will serveas the parameters that are fed into the various automation tasks thatare run within the global network architecture 100, and in particularthe DDI. The attributes may be stored as part of the metadata thatdescribes the DDI. For example, the attributes may be stored in the ECDB116, according to some embodiments.

The actions taken by the DDI 112 may be influenced by many technicalfactors, including metadata collected from various sources, includingservice provider metadata 152 that describes service provider offeringsand capabilities, and enterprise metadata 154 that describes the cloudfunctionality requests 156 made to the DDI 112 by the enterprise 150,and the service requirements (e.g., PCI data compliance) for thefunctionality requests made by the enterprise 150. Each of the data,metadata, requirements, and requests received by the DDI 112 may bestored, at least in part, on the ECDB 116.

In its role as the architect for maintaining the global networkarchitecture 100, the DDI 112, and in particular the wrapping workflowbeing run on the orchestration engine 118, analyzes cloud servicerequests and makes decisions about implementation and provisioning ofthe requested services. This technical role is a complex one, due inpart to the disparate cloud computing services offered by each serviceprovider. That is, each service provider has a widely varying set oftechnical characteristics.

For instance, FIG. 1 shows a particular data center 124 for the serviceprovider 108 running many different virtual machines (VMs), each runningmany different virtual functions (VFs). The data center 124 may includea high density array of network devices, including routers and switches126, and host servers 128. The host servers 128 support a unique set ofcomputing functionality offered by the service provider 108 from thedata center 124. As just one of many examples, the service provider 108,through the data center 124 and its other infrastructure, may supportmany different types of virtual machines, differing by number ofprocessors, amount of RAM, and size of disk, graphics processors,encryption hardware, or other properties; multiple different types ofweb front ends (e.g., different types and functionality for websites);several different types of database solutions (e.g., SQL databaseplatforms); secure data storage solutions, e.g., payment card industry(PCI) data (or any other secure data standard) compliant storage;several different types of application servers; and many different typesof data tiers. Further, the service provider 108 and the data center 124may have further characteristics for the DDI 112 to analyze, includingwhether the data center 124 is an on-premise or public location; whichnetworks can provide connectivity to the data center 124; which assetsthe service provider 108 supports; and other characteristics.

FIG. 2 shows an exemplary implementation of the DDI 112 configured toexecute complex cloud architectural provisioning and execution decisionsacross multiple cloud services. The DDI 112 includes communicationinterfaces 202, system circuitry 204, input/output interfaces 206, and adisplay 208 on which the DDI 112 generates a user interface 209.

The user interface 209 and the input/output interfaces 206 may include agraphical user interface (GUI), touch sensitive display, voice or facialrecognition inputs, buttons, switches, speakers and other user interfaceelements. Additional examples of the input/output interfaces 206 includemicrophones, video and still image cameras, headset and microphoneinput/output jacks, Universal Serial Bus (USB) connectors, memory cardslots, and other types of inputs. The input/output interfaces 206 mayfurther include magnetic or optical media interfaces (e.g., a CDROM orDVD drive), serial and parallel bus interfaces, and keyboard and mouseinterfaces. According to some embodiments, the user interface 209 mayprompt a user (e.g., cloud system administrator) to input data into theECDB 116. The user may then input data through the input/outputinterfaces 206 to be stored on the ECDB 116.

The communication interfaces 202 may include wireless transmitters andreceivers (“transceivers”) 210 and any antennas 212 used by the Tx/Rxcircuitry of the transceivers 210. The transceivers 210 and antennas 212may support WiFi network communications, for instance, under any versionof IEEE 802.11, e.g., 802.11n or 802.11ac. The communication interfaces202 may also include wireline transceivers 214. The transceivers 214 mayprovide physical layer interfaces for any of a wide range ofcommunication protocols, such as any type of Ethernet, data over cableservice interface specification (DOCSIS), digital subscriber line (DSL),Synchronous Optical Network (SONET), or other protocol.

The system circuitry 204 may include any combination of hardware,software, middleware, firmware, or other logic. The system circuitry 204may be implemented, for example, with one or more systems on a chip(SoC), application specific integrated circuits (ASIC), microprocessors,discrete analog and digital circuits, and other circuitry. The systemcircuitry 204 is part of the implementation of any desired functionalityin the DDI 112. As just one example, the system circuitry 204 mayinclude one or more instruction processors 216 and memories 218. Thememory 218 stores, for example, control instructions 220 and anoperating system 222. The control instructions 220 may include, forexample, a DDI processing block 234 that includes the instructions DDI(e.g., software) for operating the DDI as described herein. For example,the DDI processing block 234 may be representative of the DDI tooldescribed herein. The processor 216 executes the control instructions220 and the operating system 222 to carry out any desired functionalityfor the DDI 112. The control parameters 224 provide and specifyconfiguration and operating options for the control instructions 220,operating system 222, and other functionality of the DDI 112. Inparticular, the memory 218 may store the instructions representative ofworkflows 240 run by the orchestration engine 118, e.g., as part of theDDI processing 234 or control instructions 220. In particular, theworkflows 240 may be representative of the wrapping workflow, and anysub-workflows that are invoked based on subsequent iterations of thewrapping workflow, as described herein.

The DDI 112 also includes storage devices (e.g., hard disk drives (HDDs)and solid state disk drives (SDDs)). For instance, the storage devicesmay define and store databases that the control instructions 220accesses, e.g., through a database control system, to perform thefunctionality implemented in the control instructions 220. In theexample shown in FIG. 2, the databases include the ECDB 116. Eachdatabase in the system may define tables storing records that thecontrol instructions 220 and DDI processing 234 read, write, delete, andmodify to perform the processing noted below.

FIG. 3 shows a block diagram 300 that describes an exemplary logic flowof the DDI 112 interacting with various components of the global networkarchitecture 100. In particular, the DDI 112 may communicate withinfrastructure components 310 that include any combination of public,private, and hybrid cloud system infrastructure components within theglobal network architecture 100. As shown, the DDI 112 may be comprisedof the ECDB 116, the orchestration engine 118, and the automation engine120.

The ECDB 116 may store data that is shared with the orchestration engine118. The data stored within the ECDB 116 that completely describes theoperational goal may be defined as the “application fingerprint”. Basedon receiving the application fingerprint from the ECDB 116, theorchestration engine 118 may recognize an operational goal. For example,the ECDB 116 may store a building sequence for building certain virtualcomponents to achieve the operational goal, where the building sequenceis retrieved from the ECDB 116 by the orchestration engine 118. Theorchestration engine 118 may communicate with one or more components ofthe global network architecture 100 to achieve the recognizedoperational goal. In particular, FIG. 3 shows the orchestration engine118 transmitting data, which may include build instructions, to anapplication program interface (API) endpoint for environment automation301 running within the global network architecture 100. The API endpointfor environment automation 301 may then build a new virtual componentwithin the virtualization layer based on the received data from theorchestration engine 118. The virtual component built within thevirtualization layer 303 may, for example, be a virtual machine builtfor a specific purpose of achieving a recognized operational goal. Afterthe build of the virtual component, the orchestration engine 118 mayfurther generate a record of the application fingerprint describing thevirtual component (e.g., data and metadata describing attributes of thevirtual component) and/or the processes implemented during the build ofthe virtual component as a configuration item or items within aconfiguration management database (CMDB).

Similarly, the orchestration engine 118 may transmit data, which mayinclude build instructions, to the automation engine 120. Based onreceiving the data from the orchestration engine 118, the automationengine 120 may responsively transmit data, which may include buildinstructions, to the target hosts 302 running within the global networkarchitecture 100. A component running within the virtualization layer303 may contribute to data being transmitted to the target hosts 302.For example, a virtual machine running on the virtualization layer 303may build a component, or create data, that will be transmitted to thetarget hosts 302.

The infrastructure components described in FIG. 3 may include underlyinghardware 304 which will be running the described virtual components suchas the virtualization layer, the API endpoint for environment automation301 and the target hosts 302.

FIG. 4 illustrates a block diagram 400 that describes another exemplarywrapping workflow logic of the DDI 112 interacting with variouscomponents of the global network architecture 100. In particular, theDDI 112 may communicate with infrastructure 401 that include anycombination of public, private, and hybrid cloud system infrastructurecomponents within the global network architecture 100. As shown, the DDI112 may be comprised of the ECDB 116, the orchestration engine 118, andthe automation engine 120. The ECDB 116 may store data that is sharedwith the orchestration engine 118. Based on receiving data from the ECDB116, the orchestration engine 118 may recognize an operational goal. Thereceived data may include a building sequence for building certainvirtual components to achieve the operational goal. The orchestrationengine 118 may communicate with one or more components of the globalnetwork architecture 100 to achieve the operational goal. For example,the orchestration engine 118 may execute the wrapping workflow logic tobuild a specific environment “X”. The execution of the wrapping workflowlogic may then cause the orchestration engine 118 to query the ECDB 116to figure out what component groups, virtual machines, or othercomponents are needed to build this environment “X”. Instead of a singlequery to the ECDB 116 at the beginning, rather, at each step of theprocess for building the environment “X”, the wrapping workflow logicqueries for the next set of information until there is no more data leftin the ECDB 116 related to building the environment “X” (e.g., thewrapping workflow logic queries for the next virtual machine within acomponent, next component within a component group, or next componentgroup within the environment until there is no more data left).

In particular, FIG. 4 shows the orchestration engine 118 transmittingdata, which includes data describing environment provisioning, to theinfrastructure 401. The orchestration engine 118 may also transmitserver build instructions to the automation engine 120, based onreceiving the data from the ECDB 116. The automation engine 120 may thentransmit software installation instructions to the infrastructure 401based on the received server build instructions.

The infrastructure 401 may include any combination of public, private,and hybrid cloud system infrastructure components within the globalnetwork architecture 100. Then based on the received environmentprovisioning data and the software installation instructions, which maybe referenced as the “application fingerprint”, the orchestration engine118 may operate to build the components for achieving the recognizedoperational goal by executing the wrapping workflow logic. Therecognized application fingerprint may describe, for example, thecreation or modification of an environment within the infrastructure 401such as a web service capability. Therefore, the recognized operationalgoal may be to build environment “Y” that will have various componentsthat allow it to present a web application. The components might be aMySQL database, multiple JBOSS web application servers, and multipleApache Tomcat web servers.

After building the environment according to the execution of thewrapping workflow logic, the orchestration engine 118 may furthergenerate a record of the application fingerprint describing the builtenvironment (e.g., data and metadata describing attributes of thevirtual component) and/or the processes implemented during the build ofthe environment as a configuration item or items within a configurationmanagement database (CMDB).

FIG. 5 illustrates a block diagram 500 that describes another exemplarywrapping workflow logic of the DDI 112 interacting with variouscomponents of the global network architecture 100. In particular, theDDI 112 may communicate with infrastructure components that include anycombination of public, private, and hybrid cloud system infrastructurecomponents within the global network architecture 100.

As shown in FIG. 5, a user input may be received that identifies anenvironment name and the minimum requirements for building anenvironment corresponding to the identified environment name (501). Theuser input may be received through the input/output interfaces 206 basedon, according to some embodiments, a prompt or input field displayedthrough the user interface 209. Identification of the environment namemay be understood as defining the environment for purposes of buildingthe environment. For example, the environment may be a generic thickclient presentation architecture. The environment name and correspondingdetails associated with the definition of that environment may bereferenced as the “application fingerprint”.

The environment name may be transmitted to the ECDB 116 (502). Inresponse to receiving the environment name, the ECDB 116 may return acomponent group sequence to the orchestration engine 118 (501), whichmay represent a portion of the application fingerprint. The componentgroup sequence may identify a component group, identify components thatcomprise the component group, and describe a sequence for building thecomponents in the component group to achieve the recognized operationalgoal of building the environment. For example, when the environment isthe generic thick client presentation architecture, the component groupsidentified from the component group sequence may include an ActiveDirectory group (Component Group Build 1), an Application to bePresented group (Component Group Build 2), and a Citrix group (ComponentGroup Build 3). Each component group may further be identified with acomponent group build order. For example, the Active Directory group maybe identified as being built first (Component Group Build 1), then theApplication to be Presented group may be identified as being buildsecond (Component Group Build 2), and the Citrix group may be identifiedas being built third (Component Group Build 3). Further, within eachcomponent group, the components that comprise the component group may beidentified, along with the build order for the components that comprisethe component group, and, when available, a quantity of the componentsthat are to be built for the environment. For example, the ActiveDirectory group may be identified as including a primary activedirectory server (Component Build 1), and a Secondary Active DirectoryServer (Component Build 2). The Citrix group may be identified asincluding a Citrix XenApp License Server (Component Build 1), a CitrixXenApp Zone Data Collector (quantity 2) (Component Build 2), a CitrixXenApp StoreFront Web Server (quantity 2) (Component Build 3), and aCitrix XenApp Session Host (quantity N) (Component Build 4).

The component group sequence may have been inserted into the ECDB 116 aspart of a preparation process defining the application fingerprint. Inorder to define the operational goal, the environment is described bythe data stored in the ECDB 116. Additionally, an electronic catalogtool may be provided (e.g., an electronic service catalog) that allows auser to request an environment, and automate certain operationaldecisions for pre-populating data into the ECDB 116 based on thequestions asked of the user and answers received from the user.

The wrapping workflow logic may query the ECDB 116 for the componentgroup sequence, and in response, the ECDB 116 may transmit the componentgroup sequence to a first infrastructure component 520 for furtherprocessing (504). For example, the query may be a standard query, suchas an SQL query when the ECDB 116 is an Oracle database.

After receiving the component group sequence and completing the build ofa component, data is transmitted back to the ECDB 116 as anasset/configuration management process (505). For example, in theprocess of building a virtual machine, an IP Address will be requestedand reserved from an IP Address Management (IPAM) system. The IP addressmay be tied, via data, to that virtual machine within the ECDB 116. Thenthe IP address may be transmitted back to the ECDB 116 to be stored.

In response to receiving the component group sequence, the ECDB 116 mayreturn components/sequence information for building a component groupwithin the component group sequence (506). The first infrastructurecomponent 520 and the ECDB 116 may communicate back and forth through asmany iterations as needed to receive components/sequence informationfrom the ECDB 116 for each component within the component group sequence(506).

After running through the iterations on the first infrastructurecomponent 520, a second infrastructure component 530 may transmitcomponent information to the ECDB 116, where the component informationcorresponds to a component within the component group sequence (507). Inresponse to receiving the component information from the secondinfrastructure component 530, the ECDB 116 may return a build orderincluding instructions for building the component identified by thecomponent information to the second infrastructure component 530 (508).The second infrastructure component 520 may then build the componentaccording to the received build instructions (508). The secondinfrastructure component 530 and the ECDB 116 may communicate back andforth through as many iterations as needed to receive build orderinformation from the ECDB 116 for each component within the componentgroup sequence (508).

A third infrastructure component 540 may also transmit componentinformation to the ECDB 116, where the component information correspondsto a component within the component group sequence (509). In response toreceiving the component information from the third infrastructurecomponent 540, the ECDB 116 may return virtual machine (VM) informationincluding instructions for building the component identified by thecomponent information to the third infrastructure component 540 (510).The third infrastructure component 540 may then build the virtualmachine according to the received VM information (510). The VM may beconfigured to perform a specific task for achieving the recognizedoperational goal. The third infrastructure component 540 and the ECDB116 may communicate back and forth through as many iterations to receiveVM information from the ECDB 116 for each VM that is needed to achievethe recognized operational goal as managed by the orchestration engine118.

A fourth infrastructure component 550 may also transmit componentinformation to the ECDB 116, where the component information correspondsto a component within the component group sequence (511). In response toreceiving the component information from the fourth infrastructurecomponent 550, the ECDB 116 may return software install sequenceinformation including instructions for installing software (512). Thefourth infrastructure component 550 may then install the softwareaccording to the software install sequence information (512). Thesoftware may be configured to perform a specific task for achieving therecognized operational goal. The fourth infrastructure component 550 andthe ECDB 116 may communicate back and forth through one or moreiterations to receive software install sequence information from theECDB 116 for each software that is needed to be installed to achieve therecognized operational goal as managed by the orchestration engine 118.

After building the environment according to the execution of thewrapping workflow logic described in block diagram 500, theorchestration engine 118 may further generate a record of theapplication fingerprint describing the built environment (e.g., data andmetadata describing attributes of the virtual component) and/or theprocesses implemented during the build of the environment as aconfiguration item or items within a configuration management database(CMDB).

Although block diagram 500 as illustrated describes the exemplarywrapping workflow logic of the DDI 112 to iterate up to the fourthinfrastructure component 550, the number of iterations of infrastructurecomponents run by the wrapping workflow will depend on the data storedand retrieved from the ECDB 116. As long as the wrapping workflowretrieves data that define infrastructure components that call foradditional iterations, the wrapping workflow may continue to run throughadditional iterations of retrieving data from the ECDB 116. It followsthat a predetermined limit on the number of infrastructure componentsmay not exist.

FIG. 6 illustrates a block diagram 600 that describes an exemplarywrapping workflow logic of the DDI 112 which reads the applicationfingerprint and, based on those instructions, interacts with variouscomponents of the global network architecture 100. After building anenvironment according to the execution of the wrapping workflow logicdescribed in block diagram 600, the orchestration engine 118 may furthergenerate a record of the application fingerprint describing the builtenvironment (e.g., data and metadata describing attributes of thevirtual component) and/or the processes implemented during the build ofthe environment as a configuration item or items within a configurationmanagement database (CMDB). A more detailed description of the logicillustrated in FIG. 6 is provided by additional flow charts 700-1100shown in FIGS. 7-11.

In FIG. 7, the wrapping workflow is shown operating according to a buildevent sub-workflow 700. Within the build event sub-workflow 700, thewrapping workflow obtains an environment name from a user, and sendingthe environment name to the ECDB 116 (701).

In response to receiving the environment name, the ECDB 116 may returnan application group sequence based on the environment name (702), whichmay represent a portion of the application fingerprint. The applicationgroup sequence may be returned in an application group sequence array.

The wrapping workflow may apply a list iterator on the application groupsequence (703). By doing so, the wrapping workflow may generate a singleapplication group.

For each single application group that is iterated through during thebuild event sub-workflow 700, the wrapping workflow may call on acorresponding application group sub-workflow (704).

In FIG. 8, the wrapping workflow is shown operating according to anapplication group sub-workflow 800 corresponding to a currentapplication group within the application fingerprint. The applicationgroup sub-workflow 800 may be, for example, the same as the applicationgroup sub-workflow described during the process at (704) show in FIG. 7.Within the application group sub-workflow 800, the wrapping workflowobtains application group details from the ECDB 116 that pertain to thecurrent application group, and retrieves a list of server names from theECDB 116 that may be utilized to build applications included in thecurrent application group (801).

A list iterator may be applied on the list of server names (802), wherefor each server within the list of server names, the wrapping workflowmay call back to a respective build event sub-workflow (803). Then foreach server name within the list of server name, the wrapping workflowmay call a build virtual machine sub-workflow for building the server(804).

In FIG. 9, the wrapping workflow is shown operating according to a buildvirtual machine sub-workflow 900 corresponding to a current application.The build virtual machine sub-workflow 900 may be, for example, the sameas the virtual machine sub-workflow described during the process at(804) show in FIG. 8. The initial input from the application groupsub-workflow 800 may be a virtual machine name (901). With the virtualmachine name, the wrapping workflow may retrieve virtual machine detailsfrom the ECDB 116 (902). The virtual machine details may be receivedfrom the ECDB 116 in a virtual machine details array data format.

Based on the information received in the virtual machine details array,the wrapping workflow may build the virtual machine (VM) IntegrationStep to Cloud Infrastructure (903).

Then a list iterator may be applied to run through each component thatcomprises the virtual machine for generating the current application(904). For example, a path selector may be referenced (905) to choosefrom an add disk building component (908), configure CPU buildingcomponent (909), add NIC building component (906), and a configure RAMbuilding component (907). The path selector (905) may also be used tocall an install application sub-workflow (910). When the add NICbuilding component (906) is selected, the wrapping workflow may call toan IPAM sub-workflow (911). The wrapping workflow may also revert backto the application group sub-workflow when the list iterator hasconcluded iterating through the different components that comprise thevirtual machine for the current application (912).

In FIG. 10, the wrapping workflow is shown operating according to aninstall application sub-workflow 1000 corresponding to a current server.The initial input from the build virtual machine sub-workflow 900 may bethe name for the current server (1001).

Custom attributes for the current server may be retrieved from the ECDB116 based on the server name so that the custom attributes may beapplied when building the current server (1002).

A build sequence for building the current server may be retrieved fromthe ECDB 116 (1003).

The wrapping workflow may iterate through each of the steps in the buildsequence to build each component that comprises the current server(1004). A path selector may be applied (1005) to select from an apply SApolicy building component (1006), and an apply SA script buildingcomponent (1007). The path selector may also call the 00 sub-workflow asneeded (1008). The path selector may also revert to calling back to thebuild virtual machine sub-workflow 900 when each of the components thatcomprise the server have been iterated through (1009).

In FIG. 11, the wrapping workflow is shown operating according to an (IPaddress management (IPAM) sub-workflow 1100.

Within the IPAM sub-workflow 1100, the wrapping workflow may controloperations within the DDI and/or other infrastructure within the globalnetwork architecture 100 to lock flow (1101), obtain an IP address fromthe ECDB 116 (1102), reserve the IP address obtained from the ECDB 116(1103), unlock flow (1104), and call back to the build virtual machinesub-workflow with referencing the obtained IP address (1105).

FIG. 12 illustrates a flow diagram 1200 of logic that describes anexemplary high level flow (e.g., wrapping workflow) of the DDI 112interacting with various components of the global network architecture100.

The DDI tool responsible for operating the DDI 112, may identifyenvironment unique data (1201), which may be referenced as the“application fingerprint”. The application fingerprint may include therequirements for achieving an operational goal. For example, theenvironment unique data may identify memory size requirements, number ofvirtual machines required, number of different databases, identificationof other networks or components within the global network architecture100, and services for achieving the operational goal. In a specificembodiment, the environment unique data/application fingerprint mayidentify that that three different virtual machines are needed that arerunning on three different networks, and a database server that includes32 GB of memory and 8 different disks that are each 100 GB of memory. Auser interface generated by the DDI tool (e.g., user interface 209) mayprovide the fields for a user (e.g., cloud system administrator) toinput the environment unique data through the input/output interfaces206 of the DDI 112.

The DDI tool may then transmit the application fingerprint to the ECDB116. In response to receiving the environment unique data, the ECDB 116may return additional application fingerprint environment buildparameters that describe the processes and resource requirements tobuild the environment and components identified by the environmentunique data for achieving the operational goal (1202). In the providedspecific embodiment, the ECDB 116 may return the specific buildparameters for building the three different virtual machines running onthe three different networks and the database server having the specificcharacteristics. Based on the received environment build parameters, thewrapping workflow may be configured to understand an order in which tobuild the different components identified by the environment buildparameters. The wrapping workflow may understand the order in which tobuild components based on predefined rules that are written into thewrapping workflow. For example, a rule may require virtual switches andIP addresses to be created before a virtual network so that the virtualnetwork can be accessed and identified. Another rule may require virtualnetworks to be built before virtual machines so that the virtualmachines have the network environment in which to run. In this way, therules allow the wrapping workflow being run by the orchestration engine118 to be self-sufficient such that the wrapping workflow may receivethe environment build parameters from the ECDB 116, and create a buildprocess order without additional inputs from a system administrator.

Therefore, the orchestration engine 118 running the wrapping workflowmay implement a number of sub-workflow iterations within the wrappingworkflow to achieve builds for each component identified within theenvironment build parameters. For example, one sub-workflow may buildvirtual switches, firewalls, and/or load balancers (1203). The virtualswitches may be built by calling to a virtual switch 1213 (e.g., NSXvirtual switch) within the infrastructure services layer being operatedby the orchestration engine 118, where the virtual switch 1213 is a typeof software defined infrastructure. Another exemplary sub-workflow maybuild networks and configure gateways (1204). By iterating through thedifferent sub-workflows, the wrapping workflow may control the build ofall the components for creating the virtual environment described in theenvironment build parameters.

Then, within this virtual environment, various different components maybe built (e.g., web servers, Citrix servers) for ultimately achievingthe recognized operational goal. For a given component group, thewrapping workflow may gather an ordered list of components to build forthe given component group (1205). The wrapping workflow includes rulesfor understanding that a component group may require components to bebuilt in a specific order, and in a specific way. In the specifiedembodiment, a component group may call for the build of a Citrix server.To build the Citrix server, the wrapping workflow may include rules forunderstanding the different components for building the Citrix servercomponent group, and an order to build the different components to buildthe overall Citrix server component group. For example, building theCitrix server component group may first require the build of a licenseserver and a front-end web server to support the build of the Citrixserver.

The wrapping workflow may further gather component group details (1206).The component group details may identify certain desired requirements ofthe component group. For example, in the specified embodiment, thedesired requirements may call for the Citrix server to support at leasta certain number of predetermined users.

Then after gathering the ordered list of components to build (1205), andgathering the component group details (1206), the wrapping workflow mayproceed through various processes for building the components thatcomprise the component group. The wrapping workflow may gather pre-buildconfigurations for a component (1207), then implement the pre-build inaccording to the gathered pre-build configurations (1210). Theimplementation of the pre-build (1210) may initiate a call to avirtualization service such as, for example, cloud infrastructure 1214(e.g., vSphere 6.0) running within the infrastructure service layercontrolled by the orchestration engine 118.

The wrapping workflow may gather component configurations (1208), thenimplement build of the component accordingly (1211). The buildimplementation (1211) may initiate a call to the automation engine 120,where the automation engine 120 may be configured to automatically buildthe relevant component. For example, the automation engine 120 mayimplement a component build that modifies a virtual machine to operateas a web server based on gathered component configurations. The buildimplementation (1211) may be iterated to build each component identifiedin the component group.

The wrapping workflow may also gather post-build configurations (1209),then implement a post-build process accordingly (1212).

FIGS. 13-17 show exemplary database tables and database formats for datastored within the ECDB 116, including ASSET data and IPAM data.According to some embodiments, the rules referenced by the wrappingworkflow may be stored on the ECDB 116. The ECDB 116 may be understoodto be a hierarchical data structure that describes an environment and/oroperational goals to be achieved (e.g., built) by the DDI 112. TheEnvironment table describes the environment or operational goal itself.The environment may contain one or more component groups. A componentgroup is a set of systems that perform a single function. Examples wouldbe web server or Citrix presentation server. Each component group ismade up of components. A web server component group might only have asingle component, such as a web server. A Citrix component group mayhave 4 components (e.g., license server[s], zone data collectorserver[s], storefront server[s], and session host server[s]). Eachcomponent may be made up of one or more virtual machines, described inthe “VM_Requirement_xRef” table. Each VM may have one or more StorageDevices, File Systems, and NICs described in those tables. The componentinstall table describes information required to execute the provisioningof the virtual machine and the installation/configuration of thecomponent. For example, a software package may be installed as aspecific user (e.g. “CitrixAdmin”). This user would be named in the “RunAs” column of Component_Install. Additionally, each installation mayrequire some amount of data that supports the installation, like IPaddresses, names of related VMs, or Virtual IPs to assign. Each of thesetypes of items may be described by data stored in thecomponent_parameter table. FIGS. 16 and 17 depict the asset managementtables that are written as the components are built to store thereserved information about each VM or component.

The methods, devices, processing, circuitry, and logic described abovemay be implemented in many different ways and in many differentcombinations of hardware and software. For example, all or parts of theimplementations may be circuitry that includes an instruction processor,such as a Central Processing Unit (CPU), microcontroller, or amicroprocessor; or as an Application Specific Integrated Circuit (ASIC),Programmable Logic Device (PLD), or Field Programmable Gate Array(FPGA); or as circuitry that includes discrete logic or other circuitcomponents, including analog circuit components, digital circuitcomponents or both; or any combination thereof. The circuitry mayinclude discrete interconnected hardware components or may be combinedon a single integrated circuit die, distributed among multipleintegrated circuit dies, or implemented in a Multiple Chip Module (MCM)of multiple integrated circuit dies in a common package, as examples.

Accordingly, the circuitry may store or access instructions forexecution, or may implement its functionality in hardware alone. Theinstructions may be stored in a tangible storage medium that is otherthan a transitory signal, such as a flash memory, a Random Access Memory(RAM), a Read Only Memory (ROM), an Erasable Programmable Read OnlyMemory (EPROM); or on a magnetic or optical disc, such as a Compact DiscRead Only Memory (CDROM), Hard Disk Drive (HDD), or other magnetic oroptical disk; or in or on another machine-readable medium. A product,such as a computer program product, may include a storage medium andinstructions stored in or on the medium, and the instructions whenexecuted by the circuitry in a device may cause the device to implementany of the processing described above or illustrated in the drawings.

The implementations may be distributed. For instance, the circuitry mayinclude multiple distinct system components, such as multiple processorsand memories, and may span multiple distributed processing systems.Parameters, databases, and other data structures may be separatelystored and managed, may be incorporated into a single memory ordatabase, may be logically and physically organized in many differentways, and may be implemented in many different ways. Exampleimplementations include linked lists, program variables, hash tables,arrays, records (e.g., database records), objects, and implicit storagemechanisms. Instructions may form parts (e.g., subroutines or other codesections) of a single program, may form multiple separate programs, maybe distributed across multiple memories and processors, and may beimplemented in many different ways. Example implementations includestand-alone programs, and as part of a library, such as a shared librarylike a Dynamic Link Library (DLL). The library, for example, may containshared data and one or more shared programs that include instructionsthat perform any of the processing described above or illustrated in thedrawings, when executed by the circuitry.

Various implementations have been specifically described. However, manyother implementations are also possible.

What is claimed is:
 1. A computer device comprising: a machine-readablemedium, other than a transitory signal; and instructions stored on themachine-readable medium, the instructions configured to, when executed,cause processing circuitry to implement a wrapping workflow to:determine an operational goal for building an environment based on abuild request identifying the environment; iteratively retrieve aplurality of component build instructions from a database based oncomponent build instructions included in the operational goal; determinea component group sequence included in the component build instructions;determine a particular order for building a plurality of componentgroups to achieve the operational goal based on the component groupsequence; and implement predefined build features to build the pluralityof component groups in the particular order.
 2. The computer device ofclaim 1, wherein when executed, the instructions cause the processingcircuitry to implement the wrapping workflow to iteratively retrieve theplurality of component build instructions by calling one or more cloudsystems or infrastructure components to implement a specific buildfeature, gather data, or write data.
 3. The computer device of claim 1,wherein the database comprises an environment configuration database andthe build request comprises a cloud-resource build request for buildinga cloud-based resource; and wherein when executed, the instructionscause the processing circuitry to implement the wrapping workflow tofurther receive, from the database, environment attribute informationcorresponding to the environment identified in the build request as partof the cloud-resource build request.
 4. The computer device of claim 1,wherein when executed, the instructions cause the processing circuitryto implement the wrapping workflow to further include audit capabilitiesof building actions performed on an operating system.
 5. The computerdevice of claim 1, wherein the plurality of component build instructionscomprise predefined sub-workflow routines for achieving different buildrequirements.
 6. The computer device of claim 1, wherein when executed,the instructions cause the processing circuitry to implement thewrapping workflow to implement the predefined build features byinteracting with machines to build the plurality of component groups inthe particular order.
 7. The computer device of claim 1, wherein whenexecuted, the instructions cause the processing circuitry to implementthe wrapping workflow to further receive minimum requirements forbuilding the environment.
 8. The computer device of claim 7, whereinwhen executed, the instructions cause the processing circuitry toincorporate the minimum requirements for building the environment whenimplement the wrapping workflow.
 9. The computer device of claim 1,wherein when executed, the instructions cause the processing circuitryto implement the wrapping workflow to further control a build engine tobuild a component group from the plurality of component groups bytransmitting a respective component group sequence to a correspondinginfrastructure building component included in the build engine.
 10. Thecomputer device of claim 9, wherein when executed, the instructionscause the processing circuitry to implement the wrapping workflow tofurther receive, from the corresponding infrastructure buildingcomponent, the component group built by the corresponding infrastructurebuilding component.
 11. A computer system comprising: a communicationinterface configured to receive a build request for building anenvironment according to a wrapping workflow; and a database configuredto: store component build instructions; iteratively receive, from anorchestration engine operating according to the wrapping workflow, aretrieval request for component build instructions identified in anoperational goal determined based on the build request; retrieverelevant component build instructions for building the environment basedon the retrieval request; and iteratively provide the relevant componentbuild instructions to the orchestration engine.
 12. The computer systemof claim 11, wherein the database is further configured to: storeattributes of the computer system describing build capabilities of thecomputer system related to service requirements included in the buildrequest.
 13. The computer system of claim 11, wherein the database isfurther configures to store the operational goal.
 14. The computersystem of claim 11, wherein the database is further configured to: storeidentification information for a component built by the orchestrationengine based on the relevant component build instructions.
 15. Thecomputer system of claim 11, wherein the database is further configuredto: provide, to the orchestration engine, an order for buildingcomponents identified by the relevant component build instructions. 16.A method for operating a database during a build of an environmentaccording to a wrapping workflow, the method comprising: receiving abuild request for building the environment according to the wrappingworkflow storing, in the database, component build instructions;iteratively receiving, from an orchestration engine operating accordingto the wrapping workflow, a retrieval request for component buildinstructions identified in an operational goal determined based on thebuild request; retrieving relevant component build instructions forbuilding the environment based on the retrieval request; and iterativelyprovide the relevant component build instructions to the orchestrationengine.
 17. The method of claim 16, further comprising: storing, in thedatabase, attributes of a computer system including the orchestrationengine, wherein the attributes describe build capabilities of thecomputer system related to service requirements included in the buildrequest.
 18. The method of claim 16, further comprising: storing, in thedatabase, the operational goal.
 19. The method of claim 16, furthercomprising: storing, in the database, identification information for acomponent built by the orchestration engine based on the relevantcomponent build instructions.
 20. The method of claim 16, furthercomprising: providing, to the orchestration engine, an order forbuilding components identified by the relevant component buildinstructions.